Invited Speakers

Kin-Choong Yow obtained his B.Eng (Elect) with 1st Class Honours from the National University of Singapore in 1993, and his Ph.D. from Cambridge University, UK in 1998. He joined the University of Regina in September 2018, where he is presently a Professor in the Faculty of Engineering and Applied Science. Prior to joining UofR, he was an Associate Professor in the Gwangju Institute of Science and Technology (GIST), Republic of Korea, (2013-2018), Professor at the Shenzhen Institutes of Advanced Technology (SIAT), P.R. China (2012-2013), and Associate Professor at the Nanyang Technological University (NTU), Singapore (1998-2013). In 1999-2005, he served as the Sub-Dean of Computer Engineering in NTU, and in 2006-2008, he served as the Associate Dean of Admissions in NTU. Kin-Choong Yow’s research interest is in Artificial General Intelligence and Smart Environments. Artificial General Intelligence (AGI) is a higher form of Machine Intelligence (or Artificial Intelligence) where the intelligent agent (or machine) is able to successfully perform any intellectual task that a human being can. Kin-Choong Yow has published over 100 top quality international journal and conference papers, and he has served as reviewer for a number of premier journals and conferences, including the IEEE Wireless Communications and the IEEE Transactions on Education. He has been invited to give presentations at various scientific meetings and workshops, such as ACIRS, in 2018 and 2019; ICSPIC, in 2018; and ICATME, in 2021. He is the Editor-in-Chief of the Journal of Advances in Information Technology (JAIT), a Managing Editor of the International Journal of Information Technology (IntJIT), and a Guest Editor of MDPI Applied Sciences. He is also a member of APEGS and ACM, and a senior member with the IEEE. His pioneering work in Mobile and Interactive Learning won the HP Philanthropy grant in 2003 for applying Mobile Technologies in a Learning Environment. Only 7 awards were given to the 21 Asia Pacific Countries who were invited, and his project was the only one from Singapore to win it. Also, in 2003, he was one of the only 2 Singaporeans to be awarded participation to the ASEAN Technology Program on Multi Robot Cooperation Development held in KAIST, Korea. He was the winner of the NTU Excellence in Teaching Award 2005, and he won the Most Popular SCE Year 1 lecturer for 4 consecutive years 2004-2007. He has led numerous student teams to National and International victories such as the IEEE Computer Society International Design Competition (CSIDC) (2001), the Microsoft Imagine Cup (2002, 2003 and 2005), and the Wireless Challenge (2003).

Speech Title: CVS: A Novel Framework for Personality-based Automatic CV Sorting using Deep Learning

Abstract—Both skill and personality play impactful roles in professional performance. The Human Resource Management (HRM) identiffes and veriffes the skill set and academic background while recruiting new employees. However, analyzing the personalities of the applicants is challenging. Because humans have intrinsic characteristics that allow them to express fabricated personalities in different settings. Nevertheless, people frequently express their true sentiments on social media. This presentation will present an innovative and effective framework, the Curriculum Vitae Sorting (CVS) framework, that uses Bidirectional Long Short-Term Memory (BiLSTM) and the Myers-Briggs Type Indicator (MBTI) dataset to identify the personalities of job applicants using their social media posts. The CVS framework achieves a remarkable 92.88% classiffcation accuracy with a 4.55% False Positive Rate (FPR). The practical application of this framework demonstrates an 11.67% improvement in the Key Performance Indicator (KPI) among newly recruited employees. The 93.11% precision, 92.94% recall, and 94.03% F1-score of the CVS framework demonstrate its outstanding and reliable performance in personality classiffcation. This unique application of Deep Learning (DL) in HRM unearths a new dimension of Artiffcial Intelligence (AI) in business, helping organizations recruit employees with the required personalities and qualities. Index Terms—Personality Classiffcation, CV Sorting, BiLSTM Network, Myers-Briggs Type Indicator, Deep Learning, Neural Network, Natural Language Processing.